Methodology v1.0 · Last reviewed May 14, 2026 · Next scheduled review November 14, 2026
How we choose what to cover
We start from caregiver use cases, not brand catalogs. For example, "What fall-detection options work for someone who refuses to wear a pendant?" — and we work backwards from that question to candidate devices, regardless of brand visibility or affiliate payout.
A device enters the review pool only if it is:
- Currently sold in the U.S. market with active manufacturer support;
- Documented well enough for independent specification analysis — datasheets, regulatory filings, or third-party teardowns;
- Plausibly relevant to one of our six coverage pillars.
How we work
HomeSensorLab is a desk-research operation, not a clinical testing lab. We synthesize what is already publicly verifiable — manufacturer specifications, regulatory filings, peer-reviewed research, and the lived experience of caregivers we speak with — and we say so when the evidence thins out.
For each review, our process is:
- Define the buyer question. We articulate the specific caregiver decision the review needs to serve (e.g. "in-home vs. mobile for a parent who still drives") before looking at products.
- Collect public evidence. Manufacturer specifications, FDA 510(k) filings where the device is a regulated medical device, peer-reviewed studies, aggregated user reviews across multiple retailers, and reporting from established outlets (Consumer Reports, AARP, occupational therapy journals).
- Talk to people doing the job. Where possible, we interview caregivers, occupational therapists, and senior-care professionals who have used the category in real households.
- Apply the scoring rubric below. Same rubric, every review, weights unchanged.
- Disclose limits. If we have not personally handled a device, we say so. If our evidence is purely document-based, we say so.
Where a review is supplemented by first-party device handling, the review states that explicitly inline. The default assumption — unless we say otherwise — is that a given review is based on publicly verifiable information, not on a lab measurement we made ourselves.
Scoring rubric
Every device is scored on five dimensions, weighted as follows. Weights are fixed across reviews; affiliate program terms and manufacturer talking points do not change them.
| Criterion | Weight | What we look for |
|---|---|---|
| Safety / detection reliability | 30% | Documented sensor approach, published accuracy figures where available, agreement among third-party reviews on the device's failure modes (e.g. fall detection missing slow descents). |
| Ease of use | 25% | Setup steps, daily wear and charging burden, design appropriate for arthritic hands and low vision, plain-English instructions. |
| Maintainability | 15% | Stated battery life, firmware update history, manufacturer's track record on continued support of older hardware. |
| Total cost of ownership | 20% | Hardware plus three-year subscription, activation and cancellation fees, equipment-return terms, contract length. |
| Customer support | 10% | Published response times, escalation paths, documented cancellation experience from user reviews, accessibility for adult-child caregivers acting on a parent's behalf. |
Data sources
- Manufacturer specifications and product documentation — claimed performance, support terms, software update history.
- Regulatory filings — FDA 510(k) submissions for devices that are classified medical devices, FCC filings for radio behavior.
- Peer-reviewed research and public health guidance — NIA falls research, CDC STEADI, clinical literature on fall-detection accuracy and PERS outcomes.
- Aggregated user reviews across multiple platforms — Amazon, Best Buy, Reddit's caregiving communities, Better Business Bureau complaints. We look for repeated complaint patterns, not isolated outliers.
- Independent industry reporting — AARP Caregiving, Consumer Reports, occupational therapy and senior-care publications.
- Caregiver and professional interviews — families, occupational therapists, senior-care professionals.
What we don't do
These are explicit limits, not aspirations:
- We don't run a clinical accuracy lab, and we don't claim measurements we haven't made.
- We don't accept paid placements, sponsored editorial, or "review-for-product" arrangements.
- We don't accept brand-controlled review templates or pre-publication copy approval.
- We don't write under fabricated personal experience. Our editorial voice is that of independent researchers — we work with caregivers and clinicians, but we don't invent first-person caregiving stories we haven't lived.
- We don't use AI to spin up reviews at scale; every review is researched, written, edited, and signed off by a named human.
- We don't operate a comments section or community forum — outside the scope of this site's purpose.
Conflict-of-interest policy
HomeSensorLab is building toward affiliate participation but has no active affiliate programs at this time. We are in the process of applying to Amazon Associates and selected senior-tech advertiser programs on the Impact and ShareASale networks. No commission-bearing links currently exist on this site. See our full affiliate disclosure for the canonical, up-to-date list.
When affiliate relationships do come online, three things are non-negotiable:
- Affiliate commission rates do not influence ranking order or scoring weights.
- We refuse paid placements, sponsored editorial, and "review-for-product" arrangements.
- Any device with a material conflict — for example, supplied on loan by a brand we have an ongoing commercial relationship with — is disclosed inline in the review.
Error correction policy
We treat factual errors and missing disclosures as bugs, not as opinions. If you spot one, email us at ethan@homesensorlab.com with the URL and a short description of the issue.
Our commitments:
- Acknowledge within five business days. Initial reply, even if the investigation is still open.
- Fix visibly. Corrections appear as a dated note at the top or bottom of the affected page — never silently rewritten. Substantive corrections also bump the article's Last reviewed date.
- Retract when warranted. If a recommendation is materially wrong, we revise the recommendation and explain what changed.
- Disclose disclosure failures. If we discover that an affiliate disclosure was missing or unclear, we add it and add a correction note acknowledging the omission.
Update and review policy
Every review carries a Published date and, once revisited, a Last reviewed date. We re-verify on a six-month cadence, plus immediately when:
- A device receives a meaningful firmware update or hardware revision;
- A provider changes its pricing, contract terms, or monitoring infrastructure;
- A device is end-of-life'd or recalled;
- A reader-submitted correction lands.
Reviews that have gone more than twelve months without re-verification will carry a visible "stale" notice at the top until they are reviewed again, rather than being silently left up.
This methodology page is itself versioned. The current version and last-reviewed date appear under the page title above; revision history is appended at the bottom of this page as changes land.
References and further reading
For readers who want to verify the public data we cite — or build their own picture independent of any single review site:
- CDC — Older Adult Falls Data — population-level statistics on fall incidence and outcomes.
- CDC STEADI — clinical framework for fall-risk screening and prevention.
- NIA — Falls and Falls Prevention — National Institute on Aging research summaries.
- FDA 510(k) Premarket Notification — searchable database of cleared medical devices, useful for verifying device classifications and predicate devices.
- AARP Caregiving — research, guides, and consumer reporting on caregiving and aging-in-place technology.
- FTC — Consumer Protection for Older Adults — guidance for recognizing deceptive product claims and elder-targeted fraud.
Revision history
- v1.0 — 2026-05-14: Initial public methodology. Replaces the launch-day placeholder. Clarifies that HomeSensorLab is a desk-research operation; aligns affiliate language with the current "no active programs" reality; adds error-correction policy, an explicit "what we don't do" list, and a references section.